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[WACV 2025] PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction

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PrevPredMap

[WACV 2025] PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction

arXiv

Introduction

This repository is an official implementation of PrevPredMap.

Overview

overview This project introduces a novel temporal modeling framework, named PrevPredMap, which pioneers the use of previous predictions for the construction of online vectorized HD maps. Two essential modules for PrevPredMap are meticulously crafted: the previous-predictions-based query generator and the dynamic-position-query decoder. These modules not only enable PrevPredMap to effectively encode and utilize previous predictions but also ensure robust performance across both single-frame and temporal modes.

Visualization

qa This image displays three common scenarios in autonomous driving, where the camera's field of view is partially obstructed by a large truck, plastic water-filled barriers, and roadside railings, respectively.

Models

nuScenes dataset

Method Backbone Epoch Divider Ped. Crossing Boundary mAP Config Download
PrevPredMap R50 24 65.9 65.8 67.8 66.5 config model & log
PrevPredMap R50 110 70.1 71.2 72.8 71.3 config model & log

Getting Started

These settings are mostly the same as MapTRv2

Acknowledgements

PrevPredMap is based on MapTRv2 and mmdetection3d. It is also greatly inspired by the following outstanding contributions to the open-source community: GroupDETR, BEVFormer, GKT.

Citation

If you find PrevPredMap is useful in your research or applications, please consider giving us a star 🌟 and citing it by the following BibTeX entry.

@article{peng2024prevpredmap,
  title={PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction},
  author={Peng, Nan and Zhou, Xun and Wang, Mingming and Yang, Xiaojun and Chen, Songming and Chen, Guisong},
  journal={arXiv preprint arXiv:2407.17378},
  year={2024}
}

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